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Qiuhua Liang

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Engineering and Technology 43 6178 5959 391 371 172 7280

Qiuhua Liang publications per year

The chart shows the history of publications by Qiuhua Liang between 2001 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Qiuhua Liang published across 25 years, from 2001 to 2025, averaging 10.1 papers a year. Output peaked at 27 publications in 2025. 49 of the 253 publications appeared in the last two years.

No. of publications
5 10 15 20 25
Bar chart. Horizontal axis: year, 2001 to 2025. Vertical axis: number of publications, 0 to 27. Peak 27 publications in 2025. 2001: 1 publication 2002: 0 publications 2003: 0 publications 2004: 2 publications 2005: 1 publication 2006: 3 publications 2007: 5 publications 2008: 4 publications 2009: 5 publications 2010: 8 publications 2011: 9 publications 2012: 6 publications 2013: 12 publications 2014: 9 publications 2015: 16 publications 2016: 17 publications 2017: 12 publications 2018: 12 publications 2019: 20 publications 2020: 18 publications 2021: 13 publications 2022: 15 publications 2023: 16 publications 2024: 22 publications 2025: 27 publications
2001 2025

253 publications in total across all disciplines

View publications per year as a table
Qiuhua Liang: publications per year, 2001 to 2025
Year Publications
2001 1
2002 0
2003 0
2004 2
2005 1
2006 3
2007 5
2008 4
2009 5
2010 8
2011 9
2012 6
2013 12
2014 9
2015 16
2016 17
2017 12
2018 12
2019 20
2020 18
2021 13
2022 15
2023 16
2024 22
2025 27
Total 253
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Qiuhua Liang publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Qiuhua Liang sits on this spectrum.

No. of scientists
100 200 300 400
Bar chart with 78 bars. Horizontal axis: publications, 38–47 to 804+. Vertical axis: number of scientists, 0 to 457. Most scientists, 457, have 148–157 publications. The last bar groups every scientist with 804 publications or more. The highlighted bar, 168–177 publications, is where this scientist sits. 38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38–47 publications 804+

This scientist: 172 publications — 36th percentile

36% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

View publications distribution as a table
Number of Engineering and Technology scientists by publication count, Research.com 2026 ranking edition. Based on 9,796 ranked scientists.
Publications Scientists This scientist
38–47 20
48–57 35
58–67 96
68–77 135
78–87 190
88–97 259
98–107 283
108–117 369
118–127 341
128–137 386
138–147 372
148–157 457
158–167 415
168–177 407 172
178–187 421
188–197 378
198–207 403
208–217 317
218–227 346
228–237 321
238–247 260
248–257 280
258–267 240
268–277 214
278–287 242
288–297 203
298–307 166
308–317 154
318–327 175
328–337 159
338–347 99
348–357 131
358–367 106
368–377 118
378–387 97
388–397 108
398–407 82
408–417 71
418–427 64
428–437 55
438–447 54
448–457 60
458–467 47
468–477 40
478–487 30
488–497 29
498–507 38
508–517 40
518–527 32
528–537 23
538–547 28
548–557 23
558–567 19
568–577 16
578–587 17
588–597 18
598–607 22
608–617 15
618–627 9
628–637 11
638–647 21
648–657 12
658–667 9
668–677 11
678–687 9
688–697 6
698–707 14
708–717 7
718–727 8
728–737 10
738–747 9
748–757 5
758–767 5
768–777 11
778–787 7
788–797 2
798–803 4
804+ 100
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Qiuhua Liang D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Qiuhua Liang sits on this spectrum.

No. of scientists
100 200 300 400
Bar chart with 78 bars. Horizontal axis: D-Index, 30 to 107+. Vertical axis: number of scientists, 0 to 426. Most scientists, 426, have 42 D-Index. The last bar groups every scientist with 107 D-Index or more. The highlighted bar, 43 D-Index, is where this scientist sits. 30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 43 D-Index — 39th percentile

39% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

View D-Index distribution as a table
Number of Engineering and Technology scientists by D-index, Research.com 2026 ranking edition. Based on 9,796 ranked scientists.
D-Index Scientists This scientist
30 59
31 114
32 129
33 189
34 200
35 262
36 311
37 312
38 350
39 385
40 348
41 362
42 426
43 380 43
44 310
45 341
46 301
47 306
48 271
49 246
50 210
51 253
52 213
53 221
54 195
55 186
56 170
57 167
58 166
59 144
60 152
61 141
62 138
63 131
64 118
65 114
66 119
67 95
68 87
69 77
70 89
71 69
72 54
73 46
74 55
75 54
76 49
77 53
78 46
79 28
80 39
81 36
82 24
83 26
84 36
85 18
86 25
87 19
88 26
89 27
90 23
91 15
92 12
93 9
94 15
95 10
96 13
97 13
98 9
99 7
100 7
101 8
102 7
103 7
104 9
105 6
106 9
107+ 99
Download as CSV

Overview

Qiuhua Liang is affiliated with Loughborough University in the United Kingdom. Their research work spans multiple areas within environmental science and earth and planetary sciences, with a primary focus on hydrology and related disciplines.

The main fields of study covered by Qiuhua Liang include:

  • Environmental Science
  • Earth and Planetary Sciences

Within these fields, the scientist's research extends into several subfields, such as:

  • Global and Planetary Change
  • Atmospheric Science
  • Water Science and Technology
  • Environmental Engineering
  • Management, Monitoring, Policy and Law

Qiuhua Liang's body of work also concentrates on specific research topics, notably:

  • Flood Risk Assessment and Management
  • Hydrology and Watershed Management Studies
  • Tropical and Extratropical Cyclones Research
  • Landslides and Related Hazards
  • Hydrology and Drought Analysis
  • Hydrology and Sediment Transport Processes
  • Urban Stormwater Management Solutions

The following recent publications illustrate the focus and scope of their research contributions:

  • A deep convolutional neural network model for rapid prediction of fluvial flood inundation, 2020, Journal of Hydrology
  • Real-Time Flood Forecasting Based on a High-Performance 2-D Hydrodynamic Model and Numerical Weather Predictions, 2020, Water Resources Research
  • Comprehensive evaluation of hydrological drought and its relationships with meteorological drought in the Yellow River basin, China, 2020, Journal of Hydrology
  • Utilizing GRACE-based groundwater drought index for drought characterization and teleconnection factors analysis in the North China Plain, 2020, Journal of Hydrology
  • Neurocomputing in surface water hydrology and hydraulics: A review of two decades retrospective, current status and future prospects, 2020, Journal of Hydrology

Qiuhua Liang collaborates frequently with several researchers, including:

  • Xilin Xia
  • Huili Chen
  • Gang Wang
  • Haibo Yang
  • Lee Bosher

Their research outputs are primarily published in the following venues:

  • Journal of Hydrology
  • SSRN Electronic Journal
  • Water Resources Research
  • Advances in Water Resources
  • Computers and Geotechnics

Best Publications

  • Numerical resolution of well-balanced shallow water equations with complex source terms

    Qiuhua Liang;Fabien Marche

  • Adaptive quadtree simulation of shallow flows with wet-dry fronts over complex topography

    Qiuhua Liang;Alistair G.L. Borthwick

  • A deep convolutional neural network model for rapid prediction of fluvial flood inundation

    Syed Kabir;Syed Kabir;Sandhya Patidar;Xilin Xia;Qiuhua Liang

  • Assessing the utility of social media as a data source for flood risk management using a real-time modelling framework

    Luke Smith;Qiuhua Liang;Philip James;Wen Lin

  • Real-Time Flood Forecasting Based on a High-Performance 2-D Hydrodynamic Model and Numerical Weather Predictions

    Xiaodong Ming;Xiaodong Ming;Qiuhua Liang;Xilin Xia;Dingmin Li

  • Flood Simulation Using a Well-Balanced Shallow Flow Model

    Qiuhua Liang

  • An efficient and stable hydrodynamic model with novel source term discretization schemes for overland flow and flood simulations

    Xilin Xia;Qiuhua Liang;Xiaodong Ming;Jingming Hou

  • A full-scale fluvial flood modelling framework based on a high-performance integrated hydrodynamic modelling system (HiPIMS)

    Xilin Xia;Qiuhua Liang;Xiaodong Ming

  • A 2D well-balanced shallow flow model for unstructured grids with novel slope source term treatment

    Jingming Hou;Qiuhua Liang;Franz Simons;Reinhard Hinkelmann

  • Simulation of dam- and dyke-break hydrodynamics on dynamically adaptive quadtree grids

    Q. Liang;A. G. L. Borthwick;G. Stelling

  • Towards a generalised GPU/CPU shallow-flow modelling tool

    Luke S. Smith;Qiuhua Liang

  • An efficient unstructured MUSCL scheme for solving the 2D shallow water equations

    Jingming Hou;Qiuhua Liang;Hongbin Zhang;Reinhard Hinkelmann

  • Utilizing GRACE-based groundwater drought index for drought characterization and teleconnection factors analysis in the North China Plain

    Fei Wang;Zongmin Wang;Haibo Yang;Danyang Di

  • Comprehensive evaluation of hydrological drought and its relationships with meteorological drought in the Yellow River basin, China

    Fei Wang;Zongmin Wang;Haibo Yang;Danyang Di

  • Large-scale hydrodynamic modeling of the middle Yangtze River Basin with complex river–lake interactions

    Xijun Lai;Jiahu Jiang;Qiuhua Liang;Qun Huang

  • Neurocomputing in surface water hydrology and hydraulics: A review of two decades retrospective, current status and future prospects

    Mohammad Zounemat-Kermani;Elena Matta;Andrea Cominola;Xilin Xia

  • Impoundment Effects of the Three-Gorges-Dam on Flow Regimes in Two China’s Largest Freshwater Lakes

    Xijun Lai;Qiuhua Liang;Jiahu Jiang;Qun Huang

  • A 2D shallow flow model for practical dam-break simulations

    Yueling Wang;Qiuhua Liang;Georges Kesserwani;Jim W. Hall

  • Flood Inundation Modeling with an Adaptive Quadtree Grid Shallow Water Equation Solver

    Qiuhua Liang;Guozhi Du;Jim W. Hall;Alistair G. L. Borthwick

  • Urban flood susceptibility analysis using a GIS-based multi-criteria analysis framework

    Lin Lin;Zening Wu;Qiuhua Liang

  • A stable 2D unstructured shallow flow model for simulations of wetting and drying over rough terrains

    Jingming Hou;Jingming Hou;Qiuhua Liang;Franz Simons;Reinhard Hinkelmann

Frequent Co-Authors

Alistair G.L. Borthwick
Alistair G.L. Borthwick University of Edinburgh
Jim W. Hall
Jim W. Hall University of Oxford
Yong Liu
Yong Liu Peking University
R. Eatock Taylor
R. Eatock Taylor University of Oxford
Richard Dawson
Richard Dawson Newcastle University
Shuguang Xie
Shuguang Xie Peking University
Hayley J. Fowler
Hayley J. Fowler Newcastle University
Daniel T. Cox
Daniel T. Cox Oregon State University
Gareth Pender
Gareth Pender Heriot-Watt University
Jeffrey C. Neal
Jeffrey C. Neal University of Bristol

External Links

Personal website of Qiuhua Liang

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Best Scientists Citing Qiuhua Liang

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Publications: 28

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Publications: 22

Zhixian Cao

Zhixian Cao

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Publications: 20

Jianzhong Zhou

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Huazhong University of Science and Technology

Publications: 14

Paul D Bates

Paul D Bates

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Publications: 14

Qi Zhang

Qi Zhang

Chinese Academy of Sciences

Publications: 14

Gareth Pender

Gareth Pender

Heriot-Watt University

Publications: 12

Alexander Kurganov

Alexander Kurganov

Southern University of Science and Technology

Publications: 9

Chong-Yu Xu

Chong-Yu Xu

North China University of Water Conservancy and Electric Power

Publications: 9

Fengyan Shi

Fengyan Shi

University of Delaware

Publications: 9

Dimitri Solomatine

Dimitri Solomatine

IHE Delft Institute for Water Education

Publications: 8

Guy Schumann

Guy Schumann

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Publications: 8

Jeffrey C. Neal

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Publications: 8

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Zaher Mundher Yaseen

King Fahd University of Petroleum and Minerals

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Shenglian Guo

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